Definitions for

**"Sample Size"****Related Terms:**Sample, Sampling, Representative sample, Random sampling, Biased sample, Random sample, Stratified sample, Systematic sample, Stratified sampling, Stratified random sample, Probability sampling, Stratified random sampling, Sampling error, Simple random sample, Population, Probability sample, Inferential statistics, Quota sampling, Sampling distribution, Simple random sampling, Representative, Universe, Quota sample, Composite sample, Statistical inference, Selection bias, Parameter, Sample survey, Convenience sample, Acceptance sampling, Representativeness, Sample, Cluster sampling, T-test, Statistician, Statistic, Quantitative research, Target population, Demographic, Generalizability, Demography, Descriptive statistics, T test, Bootstrap, Cross-sectional study, Meta-analysis, Statistical test, Sample frame, Sampling frame, Central limit theorem

The sample size is the number of units included in a sample. The larger the sample size, the more information we have about the population.

This is the number of bits used to store each sample (an 8-bit sample records 256 levels of sound; a 16-bit sample records 65,536 levels)

The number of participants in a research study. The larger the sample size in a research study, the more power the study has to detect an association between exposure and a health effect.

the accuracy with which a sound sample is recorded. Generally, audio sample size is 8-bit or 16-bit. The latter is more accurate and provides more dynamic range, but takes up more storage space.

The number of questionnaires completed in a survey. Usually equals the number of people interviewed. Often shown in computer printouts as . See also effective sample size.

n] The number of units in a sample.

The number of people interviewed in a study.

The number of people used for a survey.

The number of individuals in a sample.

The number of population items selected when a sample is drawn from a population.

the number of members in a sample. In all cases, larger samples make for more accurate conclusions. In the case of statistical generalizations, as the sample size increases, the error margin decreases, or the confidence level increases, or both.

the number of trials or repetitions of an experiment or observation process; often the symbol for the sample size is n (e.g. n=30 implies thirty observations were made and recorded).

The number of individuals in the sample

The number of items in a sample. In general, a larger sample size yields better statistical information than a smaller sample size.

The number of subjects assigned to a treatment condition in an experiment or study.

The number of trials in an experiment.

The specific size of the group or groups being studied. Generally, the larger the sample size, the more reliable the study results, and the more likely it is that the results can be applied to larger groups of people.

The more heterogeneous a population, the larger the sample needs to be. A large sample is needed when looking for small differences.

The number of households or individuals selected for a research sample.

the number of patients studied in a trial, including the treatment and control groups, where applicable. In general, a larger sample size decreases the probability of making a false-positive error (a) and increases the power of a trial, i.e., decreases the probability of making a false-negative error (b). Large sample sizes decrease the effect of random variation on the estimate of a treatment effect.

The number of items or observations in a sample; usually denoted by lower case letter n.

The sample size is simply the size of the sample.

A sample is the subset of the population for whom we have obtained observations (scores). The number in the sample is called sample size.

For audio, the number of bits of information recorded for each sample. Most current audio CODECs work with 16 bit sampling (32,000 samples per sampling interval). In applications where less quality is required you might see 8 bit sampling (256 samples).

total number of humans or animals studied, expressed in scientific terms as "N". Sample size is key to a study's reliability and verifiability. The larger the sample size, the more confident one can be with the results.

The number of units of product in the sample selected for inspection. [D01760] MIL-STD 105 QMPP

The number of students included in the measurement.

The number of subjects under study.

This is the total count of all completed interviews, also referred to in IPOLL as the population size.

The sample size is the number of participants in the research study.

The number of people that are needed for a health study.

The number of study subjects in a trial. Sample size is usually pre-specified before the start of a trial and is based upon assumptions regarding the expected differences between treatment groups, the power, and the statistical test that will try to identify the differences between treatment groups.

The number of bits used to store a sample. Also called resolution. In general, the more bits allocated per sample, the better the reproduction of the original analog information. Audio sample size determines the dynamic range. DVD PCM audio uses sample sizes of 16, 20, or 24 bits.

The sample size is the total number of units to be inspected.

This is the size that the designer cuts his or her garments in. There are different sizes for each type of modeling - such as junior, petite, plus and fashion.

The number of samples of audio data present in the audio data, or, stated another way, the number of bits per sample. The number of bits per sample is either 8 (8-bit) or 16 (16-bit).

The number of items that should be randomly chosen from a batch.

The number of survey responses to a specific question.

Sample size, usually designated "n" (here N for legibility)"N" usually designates a population size., is the number of repeated measurements in a statistical sample. They are used to estimate a parameter, a descriptive quantity of some population. N determines the precision of that estimate.